Analytics Vidhya

OCTOBER 19, 2021

This article was published as a part of the Data Science Blogathon Snowflake is a cloud data platform that comes with a lot of unique features when compared to traditional on-premise RDBMS systems. In this tutorial, you will see the top 5 features that developers should know before implementing a solution on the Snowflake data […]. The post 5 Features Of Snowflake That Data Engineers Must Know appeared first on Analytics Vidhya.

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Dataconomy

OCTOBER 21, 2021

Data is an indispensable resource for retailers. Today, most retail businesses understand that they must capitalize on digital data, but fewer know how to make the most of it. If these companies hope to reach their full potential, they must improve their data management. Data management is often a struggling.

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Analytics Analytics 249

Applied Data Science

OCTOBER 16, 2021

The leaderboard for the ‘trappiest’ chess openings —  [link] The definitive guide to ranking the best chess traps using stats In this blog post, we will use cold hard stats (and Python) to calculate the best chess traps! ? ? What’s a chess trap? Let’s start with a definition: A trap is a position where a player is likely to play a move that when followed by the optimal response, results in a position where the player is likely to lose.

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DataRobot

OCTOBER 18, 2021

I have a confession to make—I’m a back-seat driver! When sitting in a taxi, I can’t help but grumble when the ride isn’t smooth, or the driver chooses the slowest lane of traffic. I have to fight the urge to take control. When it comes to shopping, I passively accept what is offered for sale. But my wife, who grew up in Asia where haggling is part of the culture, is different.

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Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

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Analytics Vidhya

OCTOBER 20, 2021

This article was published as a part of the Data Science Blogathon It was just past the midway mark of 2019 and the Internet casually decided to trick us as it normally does. An optical illusion went viral on Twitter which depicted a gray image that looked colored! Confused? Well, let’s dive deep in then! […]. The post Learn how to make your own Optical Illusion in Python appeared first on Analytics Vidhya.

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Python Data Science Analytics Analytics 366

Smart Data Collective

OCTOBER 22, 2021

1.145 trillion megabytes! Unbelievably, this is the amount of data that was created every day in 2021. That’s a lot of data and a lot of work for experts working in the field of data science services. Amidst growing competition, businesses are under increasing pressure to come up with unique and more cost-effective ways to manufacture and market their products.

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DataRobot

OCTOBER 22, 2021

In part one of our “Five Ways AI Can Help States Solve Their Hardest Problems” blog series, we reviewed the ramifications of crisis response management—or lack thereof—and how AI can help. As part of the COVID-19 crisis response, the federal government has provided aid to states and localities by designating federal recovery funds. Consequently, the influx of recovery funds is now resulting in increased fraud, waste, and abuse across government—including social services—preventing dollars from g

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AI AI 98

Analytics Vidhya

OCTOBER 20, 2021

This article was published as a part of the Data Science Blogathon Overview What is a Framework FrontEnd vs BackEnd What is Flask Framework Installation of Flask Creating our first Flask app Routing Static Route vs Dynamic Route HTML Injections HTML Escaping Hypertext Transfer Protocol GET and POST Methods What is a Framework? The framework […].

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Smart Data Collective

OCTOBER 21, 2021

Big data has touched almost every facet of our lives. It should be no surprise that the video gaming industry has been heavily influenced by developments in data technology. There are a number of potential opportunities to utilize big data in video games. One of the biggest benefits of integrating data analytics, AI and other technologies into video games is that it can help improve the user experience.

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Big Data Big Data Analytics Analytics 128

FlowingData

OCTOBER 21, 2021

The New York Times used radar data to create a 3-D model of the Dixie fire smoke clouds : The raw data was collected every 10 minutes in radial sweeps around the radar stations, each at a higher altitude. The Times combined and reformatted the data using Py-ART, a collection of algorithms and utilities used regularly in radar analysis. We then filtered it to reduce noise.

Algorithm 101

Algorithm 101

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Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

Database

Dataversity

OCTOBER 18, 2021

October is Cybersecurity Awareness Month! All month long, we’ll be exploring cybersecurity-related topics to help you (and your data) stay safe online. Click to learn more about author Troy Gill. Cybersecurity Awareness Month is an important reminder for individuals and companies to reflect on their security best practices and ensure they are building the safest […].

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Analytics Vidhya

OCTOBER 21, 2021

This article was published as a part of the Data Science Blogathon Image credits: Taras Bakusevych Data is the new oil we have heard it so many times. But can we visualize that data in a proper format? With the amount of data at our disposal today, the need to extract insights from it is […]. The post 10 Ideas that every Professional should avoid for Data Visualization appeared first on Analytics Vidhya.

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Data Visualization Data Science Analytics Analytics 334

Smart Data Collective

OCTOBER 20, 2021

The data integration landscape is under a constant metamorphosis. In the current disruptive times, businesses depend heavily on information in real-time and data analysis techniques to make better business decisions, raising the bar for data integration. The upsurge of data (with the introduction of non-traditional data sources like streaming data, machine logs, etc.) along with traditional ones challenge old models of data integration.

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DataRobot

OCTOBER 19, 2021

State government’s first priority is simple: to help people and to do so by creating an environment in which its constituents can flourish. For over 200 years, state and local governments have been serving people and have greatly increased their services. As these services have increased, so has the demand of constituent needs. Artificial intelligence (AI) can equip states to surge ahead faster than ever before as services continue to increase and critical needs arise.

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Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

Dataversity

OCTOBER 18, 2021

Click to learn more about author Kendall Clark. What if data really is the fuel that powers engines of insight? Imagine a world exactly like ours in every way except for one key difference. Instead of the modern fossil fuel supply chain (i.e., Big Oil) being created before (or roughly coincident with) the mass production […]. The post Modern Data Integration Requires Hybrid Multicloud Data Fabric appeared first on DATAVERSITY.

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Analytics Vidhya

OCTOBER 20, 2021

This article was published as a part of the Data Science Blogathon There are many ways a machine can be taught to generate an output on unseen data. The technological advancement in different sectors has left everyone shocked. we are now at a point where deep learning and neural networks are so powerful that can […]. The post An End-to-End Introduction to Generative Adversarial Networks(GANs) appeared first on Analytics Vidhya.

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Smart Data Collective

OCTOBER 21, 2021

Data security has become a greater concern than ever in recent years. There were only 662 data breaches in 2010. That number rose to over 1,000 by last year. The rising number of data breaches has created a strong demand for data security professionals. The unfortunate truth is that we need more big data professionals than ever. The shortage of data-savvy security experts is actually holding the United States and other countries back.

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FlowingData

OCTOBER 21, 2021

Welcome to issue #162 of The Process , the newsletter for FlowingData members that looks closer at how the charts get made. I’m Nathan Yau, and this week I’m less interested in the data and more interested in aspects of it. Become a member for access to this — plus tutorials, courses, and guides.

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Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

Data Science

Eugene Yan

OCTOBER 16, 2021

Write before you're ready, write for yourself, quantity over quality, and a few other lessons.

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Analytics Vidhya

OCTOBER 17, 2021

This article was published as a part of the Data Science Blogathon Introduction to Matplotlib If you are interested in data analytics or data visualization you are at the right place to get started. So let’s start with the simple introduction about, Data visualization which is the process of translating the numbers, text, or large data […].

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Smart Data Collective

OCTOBER 19, 2021

Analytics technology has become more important than ever in shaping the future of business. Countless businesses are looking for new ways to apply analytics technology to improve every aspect of their business model. One of the most important applications of analytics is with website management and development. You can use analytics to optimize your website to become more aesthetically pleasing to viewers.

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Analytics Analytics Big Data Big Data 117

FlowingData

OCTOBER 18, 2021

The Digital Story Innovation Team for ABC News in Australia looked at political donations from the gambling industry. The piece goes all-in with treemaps in a scrollytelling format to show categories and individual donations. It starts with an individual point and keeps zooming out more and more. Then when you think it’s done, it zooms out more.

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Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.

Analytics

The Data Administration Newsletter

OCTOBER 20, 2021

As technology is improving itself with continuous upgrades, it has led to the birth of using software without installing it on your device, such service is known as Software as a Service (SaaS). With the introduction of such services in the market, there is also a demand for business stats to appear in real-time. Through […].

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Analytics Analytics Big Data Big Data 69

Analytics Vidhya

OCTOBER 21, 2021

This article was published as a part of the Data Science Blogathon What does this article entail? Forest, bush, or vegetarian fire, can be described as any uncontrolled and non-prescribed combustion or burning of plants in a natural setting such as a forest, grassland, etc. In this article we are not determining if a forest […]. The post Forest Fire prediction using Machine Learning appeared first on Analytics Vidhya.

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Machine Learning Machine Learning Data Science Analytics 324

Smart Data Collective

OCTOBER 19, 2021

Data analytics has become a major gamechanger for the cryptocurrency industry. Traders and miners have discovered a number of advantages of using big data and AI tools to improve their profitability. One of the newest applications of data analytics in cryptocurrency mining is with yield farming. Many crypto enthusiasts have found that it can help them lift their ROI considerably and address many of the problems that they face.

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Analytics Analytics Big Data Big Data 110

DeepMind

OCTOBER 17, 2021

When you walk, your feet make contact with the ground. When you write, your fingers make contact with the pen. Physical contacts are what makes interaction with the world possible. Yet, for such a common occurrence, contact is a surprisingly complex phenomenon. Taking place at microscopic scales at the interface of two bodies, contacts can be soft or stiff, bouncy or spongy, slippery or sticky.

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Speaker: Kevin Kai Wong, President of Emergent Energy Solutions

In today's industrial landscape, the pursuit of sustainable energy optimization and decarbonization has become paramount. Manufacturing corporations across the U.S. are facing the urgent need to align with decarbonization goals while enhancing efficiency and productivity. Unfortunately, the lack of comprehensive energy data poses a significant challenge for manufacturing managers striving to meet their targets.

Analytics

The Data Administration Newsletter

OCTOBER 20, 2021

Increased awareness of data privacy has led to the implementation of data control measures. Used correctly, these safeguards can work to ensure security without impeding business agility. However, controlling access to data sources, both on-premises and cloud, while enabling business agility and competitive advantage has proven to be a challenge. Primarily, this is due to […].

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Analytics Vidhya

OCTOBER 19, 2021

This article was published as a part of the Data Science Blogathon Overview Though it is believed that tech enthusiasts are passing through the golden age of Artificial Intelligence, engineers and scientists still need to explore miles while progressing on their journey to Deep Learning projects. Either it is calibrating time-series models, processing Bayesian deep […].

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Smart Data Collective

OCTOBER 20, 2021

The global cryptocurrency market is growing rapidly. It is projected to be worth nearly $5 billion by 2030. A lot of factors are playing a role in this growth, including new advances in blockchain and the introduction of new blockchain ETFs. Blockchain ETFs are among the most popular new ways for everyday investors to diversify their portfolios with blockchain and cryptocurrency investments.

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Big Data Big Data 109

Dataversity

OCTOBER 22, 2021

Click to learn more about author Scott Taylor. The Data Rants video blog series begins with host Scott Taylor “The Data Whisperer.” The series covers some of the most prominent questions in Data Management, such as master data, the difference between master data and MDM, “truth” versus “meaning” in data, Data Quality, and so much more. […].

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Speaker: Anne Steiner and David Laribee

As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.